Household Income and Expenditure Survey 2009-2010
Kingdom of Eswatini, 2009 - 2010
Created on
May 19, 2014
Last modified
Mar 29, 2019
Page views
51824
Downloads
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- Data files
- aggpov_annual
- aggpov_educ
- aggpov_food
- aggpov_food_own
- aggpov_food_received
- aggpov_health
- aggpov_monthly
- aggpov_nfood
- aggpov_nfood_own
- aggpov_nfood_received
- aggpov_rent
- exp_annual
- exp_educ
- exp_food
- exp_food_own
- exp_food_received
- exp_health
- exp_monthly
- exp_nfood
- exp_nfood_own
- exp_nfood_received
- exp_rent
- R000_Identification
- R1_Individual
- R2_Dwelling
- R3_Credit1
- R3_Credit2
- R4_Shock
- R5_Major_exp
- R6_Livestock
- R7_Farm_input
- R8_Medical_exp
- R9_Regular_payment
- R12_Income
- R12_Income2
- R13_Wage
- R14_Wage_deduc
- R15_Enterprises
- R16_Purchase
- R18_Cash
- R19_GS_received
- R20_GS_given
- R21_Own_produced
- SWZ2010_Poverty
total cost (costtot)
Data file: R9_Regular_payment
Overview
Valid:
279
Invalid:
4889
Type:
Discrete
Decimal:
0
Start:
32
End:
40
Width:
9
Range:
-
Format:
Questions and instructions
Literal question
What was the total cost for medical expenditures in the last year ?
Categories
| Value | Category |
|---|---|
| 1 | |
| 2 | |
| 3 | |
| 4 | |
| 12 | |
| 15 | |
| 20 | |
| 25 | |
| 26 | |
| 30 | |
| 34 | |
| 36 | |
| 40 | |
| 50 | |
| 54 | |
| 55 | |
| 60 | |
| 61 | |
| 62 | |
| 63 | |
| 64 | |
| 65 | |
| 67 | |
| 69 | |
| 70 | |
| 72 | |
| 78 | |
| 80 | |
| 90 | |
| 100 | |
| 110 | |
| 114 | |
| 118 | |
| 120 | |
| 130 | |
| 138 | |
| 139 | |
| 150 | |
| 175 | |
| 180 | |
| 196 | |
| 200 | |
| 210 | |
| 220 | |
| 225 | |
| 230 | |
| 240 | |
| 250 | |
| 255 | |
| 260 | |
| 272 | |
| 280 | |
| 296 | |
| 300 | |
| 345 | |
| 360 | |
| 366 | |
| 400 | |
| 405 | |
| 440 | |
| 456 | |
| 460 | |
| 470 | |
| 482 | |
| 492 | |
| 500 | |
| 528 | |
| 540 | |
| 550 | |
| 570 | |
| 580 | |
| 600 | |
| 615 | |
| 650 | |
| 700 | |
| 720 | |
| 780 | |
| 800 | |
| 850 | |
| 870 | |
| 900 | |
| 998 | |
| 1000 | |
| 1200 | |
| 1220 | |
| 1230 | |
| 1300 | |
| 1420 | |
| 1500 | |
| 1600 | |
| 1700 | |
| 1800 | |
| 2000 | |
| 2020 | |
| 2029 | |
| 2200 | |
| 2400 | |
| 2487 | |
| 2500 | |
| 2600 | |
| 2640 | |
| 2800 | |
| 3000 | |
| 3065 | |
| 3200 | |
| 3500 | |
| 3600 | |
| 3800 | |
| 3900 | |
| 4000 | |
| 4050 | |
| 4500 | |
| 4800 | |
| 5000 | |
| 5400 | |
| 5800 | |
| 6000 | |
| 7000 | |
| 7908 | |
| 8000 | |
| 8400 | |
| 9000 | |
| 10000 | |
| 11000 | |
| 12000 | |
| 12500 | |
| 13000 | |
| 15000 | |
| 15500 | |
| 18000 | |
| 19000 | |
| 23000 | |
| 33600 | |
| 35000 | |
| 48000 | |
| 999999997 | refused to answer |
| 999999998 | don't know |
| Sysmiss |
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.